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Universal precautions

Latest AI and machine learning research in universal precautions for healthcare professionals.

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Harnessing the fish gut microbiome and immune system to enhance disease resistance in aquaculture.

The increasing global reliance on aquaculture is challenged by disease outbreaks, exacerbated by ant...

Machine learning for personalized risk assessment of HIV, syphilis, gonorrhoea and chlamydia: A systematic review and meta-analysis.

BACKGROUND: Machine learning (ML) shows promise for sexually transmitted infection (STI) risk predic...

Significant associations between high-risk sexual behaviors and enterotypes of gut microbiome in HIV-negative men who have sex with men.

UNLABELLED: Gut microbiome of men who have sex with men (MSM) exhibits distinctive characteristics c...

Efficient source and mask optimization based on interpretable hypergraph auto-encoding network.

Source and mask co-optimization (SMO) is an important technique to improve the image fidelity and pr...

Utilizing Machine Learning to Improve Neutralization Potency of an HIV-1 Antibody Targeting the gp41 N-Heptad Repeat.

The N-heptad repeat (NHR) of the HIV-1 gp41 prehairpin intermediate (PHI) is an attractive potential...

Severe community-acquired pneumonia (sCAP): advances in management and future directions.

Severe community-acquired pneumonia (sCAP) is a major global health challenge, with high morbidity a...

Dual-Mode Temperature-Pressure MXene Sensor for Enhanced Firefighter Safety and Deep Learning-Enhanced Smart Gloves.

Dual-mode sensors capable of detecting multiple physical stimuli simultaneously offer significant ad...

A Deep Learning Model Based on High-Frequency Ultrasound Images for Classification of Different Stages of Liver Fibrosis.

BACKGROUND AND AIMS: To develop a deep learning model based on high-frequency ultrasound images to c...

Development of a robust FT-IR typing system for , enhancing performance through hierarchical classification.

is a leading cause of foodborne illnesses globally, with significant mortality rates, especially am...

CALIMAR-GAN: An unpaired mask-guided attention network for metal artifact reduction in CT scans.

High-quality computed tomography (CT) scans are essential for accurate diagnostic and therapeutic de...

Peptides in plant-microbe interactions: Functional diversity and pharmacological applications.

As dynamic interfaces governing molecular recognition and signal transduction, interactions between ...

Development and Validation of an Explainable Machine Learning Model for Warning of Hepatitis E Virus-Related Acute Liver Failure.

BACKGROUND AND AIMS: Early identification of patients with acute hepatitis E (AHE) who are at high r...

An Optimized Framework of QSM Mask Generation Using Deep Learning: QSMmask-Net.

Quantitative susceptibility mapping (QSM) provides the spatial distribution of magnetic susceptibili...

Predicting host-pathogen interactions with machine learning algorithms: A scoping review.

BACKGROUND: Diseases caused by pathogenic microorganisms pose a persistent global health challenge. ...

Coarse for Fine: Bounding Box Supervised Thyroid Ultrasound Image Segmentation Using Spatial Arrangement and Hierarchical Prediction Consistency.

Weakly-supervised learning methods have become increasingly attractive for medical image segmentatio...

Identification of novel therapeutic targets in hepatitis-B virus-associated membranous nephropathy using scRNA-seq and machine learning.

Hepatitis B Virus-associated membranous nephropathy (HBV-MN) significantly impacts renal health, par...

Scalable and robust machine learning framework for HIV classification using clinical and laboratory data.

Human Immunodeficiency Virus (HIV) is a retrovirus that weakens the immune system, increasing vulner...

Sarcopenia and frailty: An in-depth analysis of the pathophysiology and effect on liver transplant candidates.

Cirrhosis represents the end stage of chronic liver disease, significantly reducing life expectancy ...

Machine Learning of Molecular Dynamics Simulations Provides Insights into the Modulation of Viral Capsid Assembly.

An effective approach in the development of novel antivirals is to target the assembly of viral caps...

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